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Big Data in Changes: Is big data bigger then sustainable development and research design?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F15%3A%230003729" target="_blank" >RIV/47813059:19520/15:#0003729 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Big Data in Changes: Is big data bigger then sustainable development and research design?

  • Original language description

    This paper is oriented on research design with links on big data in the global information society. Big data creates a phenomenon in modern society, where firms, organizations, and individuals must work with data, information, and knowledge. Big data isoriented around the derivation of needed and correct information with knowledge from stored data. The solution is to apply optimal research design as a multidimensional approach on big data based on defined preferences. Key is a complete perception of reality based on an optimal research design. Such approach works with many objects and different contexts using available analytical disciplines (layers). Needed spectrum of suitable analytical disciplines is wide. Presented design is focused on browsing selected layers via disciplines such as Artificial Intelligence, Business Intelligence, Customer Intelligence, Competitive Intelligence and Swarm Intelligence. For active work with data via various layers, a good helper is simulation and m

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    WSEAS TRANSACTIONS on COMPUTERS

  • ISSN

    2224-2872

  • e-ISSN

  • Volume of the periodical

    2015

  • Issue of the periodical within the volume

    14

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    835-842

  • UT code for WoS article

  • EID of the result in the Scopus database